使用EOG和语音命令控制和监控物联网设备

Ayman A. Wazwaz, Mohammad Ziada, Lubna Awawdeh, M. Tahboub
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引用次数: 1

摘要

这篇论文的目的是部署一台机器来控制和监控家用设备,并帮助患有脊髓损伤的人控制设备,这种损伤导致人们失去使用身体运动的能力,正常人也可以使用语音命令。原型采用眼电成像(EOG)系统[1,2,3]。患有脊髓损伤的患者可以使用该系统控制家用电器,并使用语音系统控制家用设备。该原型机通过Wi-Fi和Arduino微控制器使用物联网(IoT)技术捕获患者的眼球肌肉运动信号或语音信号,并将其与预先录制的语音命令进行比较。在不同的环境参数和条件下进行了许多测试,以确保准确性和速度。在最好的情况下,EOG的错误率为2.5%,语音命令的错误率为1%。这个想法可以进一步发展,智能手机和移动数据可以用于远程控制和监控家庭。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control and Monitor of IoT Devices using EOG and Voice Commands
This paper aims to deploy a machine to control and monitor home devices, and to assist people who suffer from spinal cord injuries to control devices, such injuries cause people to lose their ability to use their body movements, normal people may use voice commands as well. The prototype used electrooculography (EOG) system [1, 2, 3]. The patients who suffer from spinal cord injuries may use this system to control household appliances and use the voice system to control home devices. This prototype use internet of things (IoT) technology through Wi-Fi and Arduino microcontroller to capture eye muscle movement signals, that are taken from patients, or voice signals to compare them with pre-recorded voice commands. Many tests have been made to assure correctness and speed using different environment parameters and conditions. The error rate was 2.5% for EOG and 1% for voice commands in the best cases. The idea could be developed further, smartphones and mobile data can be used for controlling and monitoring homes remotely.
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